Abstract:This paper investigates the relationship between greenhouse gas emissions, energy consumption, and output growth among African OPEC countries (Libya, Nigeria, Angola, Algeria, Equatorial Guinea, and Gabon) using the panel autoregressive distributed lag model (PARDL) estimated by means of mean group (MG) and pooled mean group (PMG) for the period 1970-2016. The paper estimated three panel models comprising the components of greenhouse gasses which includes nitrous oxide, carbon dioxide (CO2), and methane and ex… Show more
“…Contrarily, Bilan et al (2019) and Alola et al (2019) ascertained that the widespread use of renewable energy consumption fortified the environmental quality in the respective countries. Further, by using the sample of African countries, Yusuf et al (2020) in their study exhibited that energy consumption has not influenced carbon emissions significantly during the study period. Such kind of uncertainty motivated us to examine whether nonrenewable energy consumption leads to CO2 emissions in the selected countries.…”
Section: Energy Consumption Trade Expansion and Environmental Qualitymentioning
PurposeIn the present study, the authors intended to investigate whether the economic growth drivers such as per capita income, financial development, nonrenewable energy solutions and trade expansion have invigorated the level of environmental pollution in the eight developing nations of South and Southeast Asia.Design/methodology/approachConsidering the possibility of the cross-sectional dependency, the authors employed relatively new econometric approaches, that is, the Westerlund cointegration test and cross-sectional augmented distributed lag mean estimation (CS-DL) for the period of 1990–2015.FindingsThe simulation results of the study confirmed an N-shaped environmental Kuznets curve, which raised a question on the existing economic policies in these nations. Further, the study reported that the improvements in the financial sector, nonrenewable energy consumption and trade expansion contributed to increasing the level of CO2 emissions in the long run.Originality/valueBased on the results, the authors intended to provide a unique policy framework because the present policies are generating a trade-off between economic and environmental goals. If the suggested framework is employed across sectors, the given countries may likely achieve the sustainable development goals by 2030.
“…Contrarily, Bilan et al (2019) and Alola et al (2019) ascertained that the widespread use of renewable energy consumption fortified the environmental quality in the respective countries. Further, by using the sample of African countries, Yusuf et al (2020) in their study exhibited that energy consumption has not influenced carbon emissions significantly during the study period. Such kind of uncertainty motivated us to examine whether nonrenewable energy consumption leads to CO2 emissions in the selected countries.…”
Section: Energy Consumption Trade Expansion and Environmental Qualitymentioning
PurposeIn the present study, the authors intended to investigate whether the economic growth drivers such as per capita income, financial development, nonrenewable energy solutions and trade expansion have invigorated the level of environmental pollution in the eight developing nations of South and Southeast Asia.Design/methodology/approachConsidering the possibility of the cross-sectional dependency, the authors employed relatively new econometric approaches, that is, the Westerlund cointegration test and cross-sectional augmented distributed lag mean estimation (CS-DL) for the period of 1990–2015.FindingsThe simulation results of the study confirmed an N-shaped environmental Kuznets curve, which raised a question on the existing economic policies in these nations. Further, the study reported that the improvements in the financial sector, nonrenewable energy consumption and trade expansion contributed to increasing the level of CO2 emissions in the long run.Originality/valueBased on the results, the authors intended to provide a unique policy framework because the present policies are generating a trade-off between economic and environmental goals. If the suggested framework is employed across sectors, the given countries may likely achieve the sustainable development goals by 2030.
“…CO 2 emissions are the most significant contributors to GHG emissions, followed by CH 4 and N 2 O. CO 2 emissions are primarily produced from the consumption of energy, transportation, and industrial output [52]. CH 4 is generated during the consumption of natural gas, oil and coal [53], while N 2 O emissions are emitted from agricultural activities [54]. The ecological footprint, on the other hand, is a modern instrument to measure the environmental quality, which reflects the ecological and biological aspects of the earth.…”
Widespread interference of human activities has resulted in major environmental problems, including pollution, global warming, land degradation, and biodiversity loss, directly affecting the sustainability and quality of the environment and ecosystem. The study aims to address the impact of the extraction of natural resources and globalization on the environmental quality in the South Asian countries for the period 1991–2018. A new methodology Dynamic Common Correlated Effects is used to deal with cross-sectional dependence. Most previous studies use only carbon dioxide emissions, which is an inadequate measure of environmental quality. Besides carbon dioxide emissions, we have used other greenhouse gas emissions like nitrous oxide and methane emissions with a new indicator, “ecological footprint”. Long-run estimation results indicate a positive and significant relationship of natural resources with all greenhouse gas emissions and a negative association with the ecological footprint. Globalization shows a negative association with carbon dioxide emissions and nitrous oxide emissions and a positive relationship with the ecological footprint. Institutional performance is negatively correlated with carbon dioxide emissions, methane emissions, and ecological footprint while positively associated with nitrous oxide emissions. The overall findings highlight the pertinence of reducing greenhouse gas emissions and ecological footprint, proper utilizing of natural resources, enhancing globalization, and improving institutional performance to ensure environmental sustainability.
“…integrated of order zero (I(1)). Since the variables investigated are integrated of mixed order, the appropriate model to employ for analysis is the Autoregressive and Distributed Lag Model (see Yusuf et al, 2020;Pesaran et al, 1999). Tables 3 and 4 respectively.…”
This study examined the effect of human capital development on the economic growth of Nigeria. In achieving this, the human capital variables of education and health care were included in the study. The study employed the Autoregressuve and Distributive Lag (ARDL) model to annual series covering the period 1983 to 2018 for analysis. The findings of the study revealed the presence of a long-run association among the stuady variables. Further, it was discovered that in both the short and long run, both components of human capital development produce a positive effect on economic growth, although the effect of education appeared to be larger. The study emphasized the need for policymakers to enhance both access to and quality of health care and education with a view to stimulating the economic growth of Nigeria.
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